A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Extract data from a wide range of Internet sources into a pandas DataFrame.

Read and analyze SEC EDGAR filings in Python. 10-K, 8-K, XBRL financials, Form 3/4/5, 13F, ADV — clean API, well-typed, MIT-licensed.

OCR model that handles complex tables, forms, handwriting with full layout.

Python Data Science Handbook: full text in Jupyter Notebooks

An up-to-date list of time-series related papers in AI venues.

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

Helper functions to plot, evaluate, preprocess and engineer features for forecasting

Code to accompany the paper "Fin-GAN: Forecasting and Classifying Financial Time Series via Generative Adversarial Networks"

🎓 Advice and resources for thriving and surviving graduate school

Python code examples for accessing and analyzing SEC's XBRL Data Sets

Get answers to research questions from 200M+ papers. Link to demo -

Introduction to Bayesian statistics

Python tool for converting files and office documents to Markdown.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Bayesian Analysis with Python (Second Edition)

Bayesian Analysis with Python - Second Edition, published by Packt

Model Context Protocol Servers

Scrapy, a fast high-level web crawling & scraping framework for Python.

Official implementation for "TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables" (NeurIPS 2024)

2025 MITSUI&CO. Commodity Prediction Challenge

Hydra is a framework for elegantly configuring complex applications

Flexible Python configuration system. The last one you will ever need.

Universal icon framework. One syntax for FontAwesome, Material Design Icons, DashIcons, Feather Icons, EmojiOne, Noto Emoji and many other open source icon sets (over 200 icon sets and ~300k icons)…

Source code of ICML'22 paper: FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

Workshop materials for HPC with Python

Github repo for Bayesian applications in real-world problems. Please visit the webpage:

Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".